Senior Data Scientist - Airline Revenue Management Expert for Remote Work with Cloud-Based Technologies

Unlock Your Potential as a Data Science Leader in Airline Revenue Management

Are you a seasoned data scientist with a passion for the airline industry and a knack for driving business growth through data-driven insights? Do you have a strong background in revenue management and a flair for working with cutting-edge cloud technologies? If so, we have an exciting opportunity for you to join our team as a Senior Data Scientist - Airline Revenue Management Expert, working remotely with a dynamic company at the forefront of airline revenue management innovation.

About Our Company and the Role

Our company is a leader in providing advanced revenue management solutions to the airline industry. With a strong focus on leveraging data science and machine learning to drive business decisions, we empower airlines to maximize their revenue potential. As a Senior Data Scientist in our team, you will play a pivotal role in developing and implementing data models and algorithms that help our clients gain a competitive edge in the market. This is a 100% remote position, offering you the flexibility to work from anywhere in the USA.

Key Responsibilities

• Collaborate with subject matter experts from airlines to identify opportunities for leveraging data to deliver insights and actionable predictions of customer behavior and operations performance.
• Assess the effectiveness and accuracy of new data sources, data gathering, and forecasting techniques, ensuring that our solutions remain at the cutting edge.
• Develop custom data models and algorithms to apply to complex data sets, running proof of concept studies to validate your hypotheses.
• Leverage existing statistical and machine learning tools to enhance our in-house algorithms, driving continuous improvement.
• Work closely with software engineers to implement and test production-quality code for forecasting and data analytics models, ensuring seamless integration.
• Develop and maintain processes and tools to monitor and analyze data accuracy and model performance, identifying areas for improvement.
• Demonstrate our software solutions to customers, performing value-proving benchmarks and calibrating our software to meet customer needs.
• Train customers on the use and maintenance of our software, ensuring they derive maximum value from our solutions.
• Respond to customer complaints and suggestions, driving continuous improvement in our offerings.

Essential Qualifications and Skills

To succeed in this role, you will need:

• An advanced degree in Statistics, Operations Research, Computer Science, Mathematics, or Machine Learning, demonstrating a strong foundation in data science.
• A proven ability to apply modeling and analytical skills to real-world problems, with a track record of delivering impactful results.
• Knowledge of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and statistical concepts (regression, properties of distributions, statistical tests, etc.), with the ability to apply these to complex data sets.
• Solid programming skills in 2-3 languages out of R, SQL, Python, TensorFlow, PySpark, Java, JavaScript, or C++, with a preference for Python and C++.
• Graduate school-level knowledge of Revenue Management models and algorithms, with experience in the airline industry.
• Experience with deploying machine learning and statistical models on a cloud platform (minimum 4 out of 7 years), with a preference for Google Cloud Platform.
• Experience with MLOps within the enterprise CI/CD process for ML models (2 years), and deploying ML APIs in production environments using GKE (2 years).
• Familiarity with Google Cloud Platform Vertex AI for ML and BigQuery (1 year), Terraform and Containers technologies (2 years), and experience writing data processing jobs using Google Cloud Platform Dataflow and Dataproc (2 years).
• Understanding of machine learning concepts to scale ML across different services by leveraging Feature Store, Artifacts Registry, and Analytics Hub (1 year).

Preferred Qualifications

While not essential, experience with Rally and JIRA is considered a plus, as is a background in working with airline distribution, pricing, revenue management, NDC, and Offer/Order Management concepts.

What We Offer

As a Senior Data Scientist with our company, you can expect:

• A competitive salary that reflects your experience and qualifications.
• The opportunity to work on cutting-edge projects that drive business growth and innovation in the airline industry.
• A dynamic and supportive remote work environment that fosters collaboration and creativity.
• Access to the latest technologies and tools, with opportunities for professional development and growth.
• A culture that values work-life balance, with flexible working arrangements to suit your needs.

Career Growth and Learning Benefits

At our company, we are committed to helping our team members grow and develop their skills. As a Senior Data Scientist, you will have access to ongoing training and development opportunities, including:

• Professional development courses and workshops to enhance your technical skills.
• Mentorship and coaching from experienced leaders in the field.
• Opportunities to attend industry conferences and events, staying up-to-date with the latest trends and developments.

Join Our Team

If you are a talented data scientist with a passion for airline revenue management and a flair for working with cloud-based technologies, we encourage you to apply for this exciting opportunity. With a competitive salary, a dynamic work environment, and opportunities for growth and development, we offer a compelling proposition for the right candidate.

Don't miss this chance to join our team and make a real impact in the airline industry. Apply now and take the first step towards a rewarding and challenging career as a Senior Data Scientist - Airline Revenue Management Expert.